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Evaluation method for impact of jamming on radar based on expert knowledge and data mining

机译：基于专业知识和数据挖掘的雷达干扰对雷达的影响评价方法

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摘要

The effects of complex electromagnetic environment on a radar system involve many factors and their interrelationships are also complicated, so it is difficult to quantitatively describe the impact of jamming on the radar. In this study, the authors start from the signal models of several jamming types and the basic signal processing flow of pulse-Doppler radar and propose a unified evaluation framework based on expert knowledge and data mining. On the one hand, the evaluation index from expert knowledge is calculated by the two-dimensional image entropy of the time-frequency distributions of echoes. On the other hand, the evaluation index from data mining is constructed from the principle patterns extracted from samples by robust principal component analysis. In addition, the fused evaluation index is achieved by taking a weighted average of the indices from expert knowledge and data mining, where the weights are designed from the samples. Finally, the proposed evaluation approach is validated by analysing its feasibility, consistency and robustness in experiments and the results show that it can stably and quantitatively measure the impact of jamming on the radar.
机译：复杂电磁环境对雷达系统的影响涉及许多因素，它们的相互关系也很复杂，因此难以定量地描述干扰对雷达的影响。在本研究中，作者从几种干扰类型的信号模型和脉冲多普勒雷达的基本信号处理流程开始，并提出了一种基于专家知识和数据挖掘的统一评估框架。一方面，专家知识的评估指标由回波时频分布的二维图像熵计算。另一方面，来自数据挖掘的评估指标由通过稳健的主成分分析从样品中提取的原理模式构成。此外，通过从专业知识和数据挖掘中获取指数的加权平均值来实现融合评估指标，其中重量是从样本设计的。最后，通过分析实验中的可行性，一致性和稳健性以及结果表明它可以稳定和定量地验证所提出的评估方法，表明它可以稳定和定量地测量干扰对雷达的影响。

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